Research Article

Analysing user resistance to distance learning systems by academics within the Covid-19 pandemic using the technology acceptance model

Volume: 15 Number: 2 December 31, 2022
EN TR

Analysing user resistance to distance learning systems by academics within the Covid-19 pandemic using the technology acceptance model

Abstract

The aim of this study is to determine academics’ user resistance to distance learning, their perceptions of the distance learning systems and factors affecting their perceptions of the changes in the education system during the COVID-19 pandemic. The study’s population consists of 440 academics working in 43 different universities in Turkey. The research sample were determined through convenience and snowball sampling methods. The data were collected using an online questionnaire form created within Google Forms. After validity and reliability analyses on the data, eight different hypotheses were tested using structural equation analysis. All eight hypotheses proposed within the study were accepted after receiving the results of this analysis. The results of the study show that user resistance has a significantly negative effect on the users that utilise distance learning. However, the perceived ease of use and usefulness have a significantly positive effect on attitude and behavior.

Keywords

Project Number

yok

References

  1. Aguilera-Hermida, A.P. (2020). College students’ use and acceptance of emergency online learning due to COVID-19. International Journal of Educational Research Open 1, (100011), 1-8. doi:10.1016/j.ijedro.2020.100011
  2. Aguilera-Hermida, A.P., Quiroga-Garza, A., Gómez-Mendoza, S., Villanueva, C.A.D.R., Alecchi, B.A., and Avci, D. (2021). Comparison of students’ use and acceptance of emergency online learning due to Covid-19 in the USA, Mexico, Peru, and Turkey. Education and Information Technologies, 1-23. doi:10.1007/s10639-021-10473-8
  3. Akour, I., Alshurideh, M., Al Kurdi, B., Al Ali, A., and Salloum, S. (2021). Using machine learning algorithms to predict people’s intentiont to use mobile learning platforms during the COVID-19 pandemic: Machine learning approach. Jmir Medical Education 7(1), 1-17, E24032. doi: 10.2196/24032
  4. Alam, M. (2020). Organisational processes and COVID-19 pandemic: implications for job design. Journal Of Accounting & Organizational Change, 16(4), 599-606. doi:10.1108/JAOC-08-2020-0121
  5. Alexandrakis, D., Chorianopoulos, K., and Tselios, N. (2020). Older adults and web 2.0 storytelling technologies: probing the technology acceptance model through an age-related perspective. International Journal of Human–Computer Interaction, 36, 1623-1635. doi:10.1080/10447318.2020.1768673
  6. Alfadda, H.A. and Mahdi, H.S. (2021). Measuring students’ use of zoom application in language course based on the technology acceptance model (TAM). Journal of Psycholinguistic Research, 50, 883-900. doi:10.1007/s10936-020-09752-1
  7. Alhumaid, K., Ali, S., Waheed, A., Zahid, E., and Habes, M. (2020). COVID-19 and E-learning: perceptions and attitudes of teachers towards e-learning acceptance in the developing countries. Multicultural Education, 6(2), 100-115. doi: 10.5281/zenodo.4060121
  8. Almaiah, M.A., Al-Khasawneh, A., and Althunibat, A. (2020). Exploring the critical challenges and factors influencing the e-learning system usage during COVID-19 pandemic. Education and Information Technologies, 25, 5261-5280. doi:10.1007/s10639-020-10219-y

Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Publication Date

December 31, 2022

Submission Date

August 25, 2022

Acceptance Date

November 17, 2022

Published in Issue

Year 2022 Volume: 15 Number: 2

APA
Bekar, F., & Çam, H. (2022). Analysing user resistance to distance learning systems by academics within the Covid-19 pandemic using the technology acceptance model. Hitit Journal of Social Sciences, 15(2), 373-392. https://doi.org/10.17218/hititsbd.1166639
AMA
1.Bekar F, Çam H. Analysing user resistance to distance learning systems by academics within the Covid-19 pandemic using the technology acceptance model. Hitit Journal of Social Sciences. 2022;15(2):373-392. doi:10.17218/hititsbd.1166639
Chicago
Bekar, Fevziye, and Handan Çam. 2022. “Analysing User Resistance to Distance Learning Systems by Academics Within the Covid-19 Pandemic Using the Technology Acceptance Model”. Hitit Journal of Social Sciences 15 (2): 373-92. https://doi.org/10.17218/hititsbd.1166639.
EndNote
Bekar F, Çam H (December 1, 2022) Analysing user resistance to distance learning systems by academics within the Covid-19 pandemic using the technology acceptance model. Hitit Journal of Social Sciences 15 2 373–392.
IEEE
[1]F. Bekar and H. Çam, “Analysing user resistance to distance learning systems by academics within the Covid-19 pandemic using the technology acceptance model”, Hitit Journal of Social Sciences, vol. 15, no. 2, pp. 373–392, Dec. 2022, doi: 10.17218/hititsbd.1166639.
ISNAD
Bekar, Fevziye - Çam, Handan. “Analysing User Resistance to Distance Learning Systems by Academics Within the Covid-19 Pandemic Using the Technology Acceptance Model”. Hitit Journal of Social Sciences 15/2 (December 1, 2022): 373-392. https://doi.org/10.17218/hititsbd.1166639.
JAMA
1.Bekar F, Çam H. Analysing user resistance to distance learning systems by academics within the Covid-19 pandemic using the technology acceptance model. Hitit Journal of Social Sciences. 2022;15:373–392.
MLA
Bekar, Fevziye, and Handan Çam. “Analysing User Resistance to Distance Learning Systems by Academics Within the Covid-19 Pandemic Using the Technology Acceptance Model”. Hitit Journal of Social Sciences, vol. 15, no. 2, Dec. 2022, pp. 373-92, doi:10.17218/hititsbd.1166639.
Vancouver
1.Fevziye Bekar, Handan Çam. Analysing user resistance to distance learning systems by academics within the Covid-19 pandemic using the technology acceptance model. Hitit Journal of Social Sciences. 2022 Dec. 1;15(2):373-92. doi:10.17218/hititsbd.1166639